Overview
What is Couchbase Server?
Couchbase Server is a cloud-native, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON flexibility and scale that defines NoSQL. It is available as a service in commercial clouds and supports hybrid…
Couchbase: DB All-in-One Solution
high availability
We have used to store user information for fraud detection and authentication.
We have large …
Couchbase to the Rescue!
Couchbase - best NoSql solution in the market.
Couchbase - best NoSql solution in the market
My experience as a first employee at a startup company using Couchbase
Couchbase, powerful nosql
Couchbase the database of ease
Very long questions.
Move forward
Couchbase scales well
Couchbase is rock
Fantastic database management and data analysis product
A Very Secure and Scalable NoSQL Database
Cloud based outstanding database
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Popular Features
- Availability (96)9.393%
- Scalability (95)9.292%
- Data model flexibility (95)8.989%
- Performance (97)8.888%
Pricing
What is Couchbase Server?
Couchbase Server is a cloud-native, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON flexibility and scale that defines NoSQL. It is available as a service in commercial clouds and supports hybrid and private cloud deployments.
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Product Demos
Module 1 - Couchbase Server Installation_04 - Hands-On Couchbase DBA | Kishore Uppala
Module 1 - Install CentOS In Virtual Box_03 - Hands-on Couchbase DBA | Kishore Uppala
Module 1-Installation & Configuration_02-Hands-on Couchbase Database Administration | Kishore Uppala
Module 1 - Introduction Overview_01 - Hands-on Couchbase Database Administration | Kishore Uppala
Learn Couchbase In 1 Hour - Complete Couchbase Tutorial - Couchbase Tutorial For Beginners
How to configure Couchbase Server 5.0
Features
NoSQL Databases
NoSQL databases are designed to be used across large distrusted systems. They are notably much more scalable and much faster and handling very large data loads than traditional relational databases.
- 8.8Performance(97) Ratings
How fast the database performs under data load
- 9.3Availability(96) Ratings
Availability is the probability that the NoSQL database will be available to preform its function when called upon.
- 8.8Concurrency(94) Ratings
Concurrency is the ability for multiple processes to access or change shared data simultaneously. The greater the number of concurrent user processes that can execute without blocking each other, the greater the concurrency of the database system.
- 8.9Security(94) Ratings
Security features include authentication against external security mechanisms liker LDAP, Windows Active Directory, and authorization or privilege management. Some NoSQL databases also support encryption.
- 9.2Scalability(95) Ratings
NoSQL databases are inherently more stable than relational databases and have built-in support for replication and partitioning of data to support scalability.
- 8.9Data model flexibility(95) Ratings
NoSQL databases do not rely on rely on tables, columns, rows, or schemas to organize and retrieve data, but use use more flexible data models to accommodate the large volume and variety of data being generated by modern applications.
- 8.1Deployment model flexibility(94) Ratings
Can be deployed on-premise or in the cloud.
Product Details
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- Integrations
- Competitors
- Tech Details
- FAQs
What is Couchbase Server?
Couchbase Server is a cloud-native, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON flexibility and scale that defines NoSQL. It is available as a service in commercial clouds and supports hybrid and private cloud deployments.
Built on NoSQL technology, Couchbase Server is designed to deliver performance at any scale across any cloud. With its memory-first architecture, latency is measured in milliseconds. And with a JSON document foundation, geo-distributed deployments, workload isolation, and high-density storage, Couchbase is presented as an ideal database for scalable, mission-critical applications. To round off the solution, Couchbase has an SQL-compatible query language (SQL++) and dynamic schema structures, to make it easy to migrate from RDBMS.
The vendor states that current customers include industry leaders Amadeus, AT&T, BD (Becton, Dickinson and Company), Carrefour, Cisco, Comcast, Disney, DreamWorks Animation, eBay, Marriott, Neiman Marcus, Tesco, Tommy Hilfiger, United, Verizon, Wells Fargo, as well as hundreds of other household names.
Couchbase Server Features
NoSQL Databases Features
- Supported: Performance
- Supported: Availability
- Supported: Concurrency
- Supported: Security
- Supported: Scalability
- Supported: Data model flexibility
- Supported: Deployment model flexibility
Additional Features
- Supported: Multi-Dimensional Scaling (MDS)
- Supported: Cross Data Center Replication (XDCR)
- Supported: Flexible Schema (JSON + N1QL)
- Supported: Full Text Search (FTS)
- Supported: Analytics
- Supported: Mobile & IoT Integration
- Supported: Memory-First Architecture
- Supported: Big Data & SQL Integration
- Supported: Key Value
- Supported: Cloud Native
- Supported: Query
Couchbase Server Video
Couchbase Server Integrations
Couchbase Server Competitors
Couchbase Server Technical Details
Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
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Operating Systems | Windows, Linux, Mac |
Mobile Application | Apple iOS, Android, Windows Phone, Mobile Web, IoT devices using our .NET and Java libraries |
Frequently Asked Questions
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Reviews and Ratings
(204)Community Insights
- Business Problems Solved
- Pros
- Cons
- Recommendations
Couchbase is widely used by various organizations and companies for agile access to information in a secure and robust infrastructure. Users have found Couchbase to be an efficient and easy-to-use solution for developing web apps, mobile apps, and IoT applications. It offers scalability, high availability, and performance, making it crucial for designing applications that can handle global customer needs.
Couchbase is utilized in various areas of companies, including human resource management, accounting, and receipt and delivery departments, to facilitate faster and more regular movement of goods and services. It enables fast access and processing of data securely with different access levels, which is crucial for delivering goods and services remotely. Additionally, Couchbase Cloud is used to overcome the challenges of remote work and ensure fast and secure data analysis and delivery for both internal and client projects.
The software is also extensively used in the gaming industry for storing players' game state data and allowing features and services to leverage it. Furthermore, Couchbase is utilized for mobile data collection in a SaaS platform, eliminating the need for relational tables and schemas. It simplifies the storage of complex insurance rating information and provides high performance and scalability.
Developers rely on Couchbase as a powerful and flexible NoSQL database that allows for quick application development and deployment within the cloud. The product is commonly used for managing databases across multiple departments, particularly in mobile application development. Furthermore, Couchbase Data Platform is utilized in various industries such as the airline industry, where it powers onboard meal ordering systems and personalized service during flights.
In summary, Couchbase addresses a wide range of business problems across industries by providing fast access to information in a secure infrastructure. Its flexibility, scalability, and high performance make it a preferred choice for developing web apps, mobile apps, IoT applications, and managing databases across organizations.
Scalability: Couchbase is highly scalable, allowing users to handle large amounts of data and serve numerous transactions simultaneously. Reviewers have praised the ability to scale the database based on performance requests and the ease of expanding the cluster size.
Performance: Users appreciate Couchbase's strong performance, specifically highlighting its memory caching as a significant advantage over other NoSQL databases they evaluated. This indicates that Couchbase is efficient and fast in processing and retrieving data.
Flexibility: The schema-less architecture of Couchbase provides flexibility for users. They value the ability to support system points backwardly and make changes easily. It demonstrates that Couchbase can adapt to changes in the database structure effectively.
Difficulties in navigating documentation: Some users have expressed frustration with the navigation of Couchbase's documentation site, citing outdated code references and articles. They feel that this makes it more challenging to find the information they need.
Lack of enterprise features: Users have mentioned that Couchbase lacks certain enterprise features, such as centralized administration tools, auditing capabilities, and replication networks. This has led some users to believe that the platform may not be suitable for larger-scale or more complex business needs.
Frustration with management UI: The management console in Couchbase has been described as cumbersome and in need of improved user experience. Users have suggested improvements such as consolidating logs, enhancing error handling capabilities, and allowing servers to change roles without downtime.
Users have recommended Couchbase for several use cases, including caching applications and scenarios involving real-time analysis. They also suggest utilizing Couchbase for document-based NoSQL databases, as it offers good read and write speed. Attendees at Couchbase seminars have praised the informative sessions that help in gaining a basic understanding of the product. Additionally, users recommend watching videos or webinars to further enhance knowledge about Couchbase's features. Customers have reported outstanding support and assistance from Couchbase's customer service team and account representatives. They are commended for their promptness and expertise in resolving any issues or queries. To ensure long-term scalability and smooth cloud migration, it is advised to carefully consider these factors when implementing Couchbase. Users recommend leveraging the ElasticSearch plugin for effective data structuring. While Couchbase is recognized for its performance boost, users note that there is a steep learning curve compared to traditional RDBMS systems. It is suggested to invest time in understanding the purpose and strengths of Couchbase before implementation. Couchbase is regarded as a reliable solution for maintaining secure and safe databases. However, users caution that implementing logic should be handled in code rather than relying solely on Couchbase. To explore the capabilities of Couchbase, users recommend trying the free trial version and engaging with the active community forums where they can seek assistance from experienced developers. Overall, users advise familiarizing oneself with the developer guide as it provides valuable insights into effectively using Couchbase for various applications.
Attribute Ratings
Reviews
(1-25 of 100)Couchbase: DB All-in-One Solution
- HA
- Scale
- Dashboard
- Easy replication and indexing
- SQL
- FTS
- Stability in some version x.0
- Bug in first versions
high availability
We have used to store user information for fraud detection and authentication.
We have large user base where we are detecting pattern based on device and other user information to detect fraudulent behaviour of the user.
Couchbase was faster solution to store this information and we are able to fetch whenever we need.
- Data Management
- Data Availability
- Less latency and fast lookup
- Dashboard
- Sorting of data
This work best for all the noSQL usecases, we tried few of the usecase and did the POC.
This work well and we never stuck with the scaling part,
We are able to run this over the large amount of user records.
Couchbase to the Rescue!
- Synchronization between web and mobile platform using sync gateway
- Custom document id to reduce data filter
- SDK to update specified document or document fragments
- Documentation was quite hard for me to understand at the beginning. I think that needs to be improved for newbies.
- Updating multiple document keys were possible before v6.5, but now not anymore. For me that was a great help. I think that needs to be back.
Couchbase - best NoSql solution in the market.
- Retrieves the data very fast.
- Don't have to use predefined schema.
- I can still query on the Json.
- Takes too long to build index. Could be faster.
Couchbase - best NoSql solution in the market
- Flexible schema
- Serves data very fast
- Automated purging of old data
- Query takes too long. It can be improved
- Indexing can be faster
- Key value cache
- SQL like query
- Replication
- Indexing
- Poor UI
Couchbase, powerful nosql
- N1QL requests
- Key/value storage
- Performance
- Indexes need some time to understand
- Documentation could be improved somtimes
Couchbase the database of ease
- Scalability
- Highly available
- Easy to use
- Cost
- number of buckets
- performance with larger datasets
Very long questions.
- Offline storage and sync.
- Peer to peer sync.
- Sync based on filters or channels.
- Max 10 databases is weird.
- Expecting data validation and data constraints.
- Easy deployment for production.
Move forward
- Write speed
- scalability and reliability
- tools to administrate
- Search capabilities are still worse than Elasticsearch
Couchbase scales well
- Scales
- Fast
- Easy to learn
- Confusing errors
- Confusing admin console
- Lots of versions
Couchbase is rock
- Using N1QL query we can perform operation on specific field
- Fetching is easy
- Using JPA we can do crud operation very easily
- It stored data in the form of json object
- We can enhance the query console in UI so we can perform some cleanup activity very easily on the different bucket
- We can show some suggestion while writing query from UI
- We can do static error checking ie while writing a query editor can show the error if there are some errors instead run the query and get the error
Fantastic database management and data analysis product
- Data storage management.
- Monitoring data entering our company from all sources.
- The platform performance has been awesome.
- I am conversant with all the features.
A Very Secure and Scalable NoSQL Database
- It is a very secure database
- It is a high performance data base
- Couchbase is highly scalable
- Makes it easy to develop responsive applications
- Sometimes it can lag more so when network is poor
- Longer learning curve
- Poor documentation
Cloud based outstanding database
- Open source
- High scalability and throughput
- JSON based datamodel
- Setup is time consuming.
- UI is not attractive.
Couchbase a great NoSQL high performance database.
- Ability to scale.
- High performance on reads and writes.
- Easy to setup and configure.
- Limitation on a number of data buckets as per best practices.
- N1QL query not very fast.
- Past versions had some major bugs like in xdcr causing cluster failure, which has been fixed in 4.x.
Faster and more cost effective than CosmosDB
- Fast
- Reliable
- Cost effective
- Hosted solution needs some work.
NoSQL Couchbase as a Content store to achieve Headless CMS
- Content stored as documents
- We manage session[s] in a central way across all of digital channels.
- Central store in our microservices world
- Partially as a cache in certain use cases.
- Deploying Couchbase in a microservices world
- Deployment ease to make it small and synching with other microservice hosting Couchbase
- Bucket creation and its quota can be improved.
Couchbase: Blistering performance at scale for enterprises
- Couchbase performance is exceptional both for in-memory and persisted transactions.
- Handling of node failures and cluster rebalancing (high availability).
- Enterprise support from Couchbase themselves
- Good documentation
- Streaming of bucket (database) level mutations via their Database Change Protocol (DCP).
- Replication of datasets between native clients and Couchbase buckets
- Handling of simultaneous writes to the same record with performance penalties
- SDK examples are not always clear enough and don't cover enough scenarios.
- Setting up and managing a large, high performance cluster is not easy without significant assistance from Couchbase themselves. There needs to be more tutorials \ documentation for enterprise scenarios.
- Full text search, while not a primary feature, is not sufficiently performant in Couchbase, so Elasticsearch is still needed. Couchbase has a good integration for moving data to Elasticsearch so this is not very painful. It's possible that the performance has improved in the latest version as we have not yet tested it for FTS.
- Poor performance and support for synchronization of web based apps (PWA's etc)
[Couchbase] is not so well suited to high performance full text search although possibly this has improved in the latest version. applications which require real-time updates from a database. Firebase would be a better fit for this.
A NoSQL product that delivers on performance
- Improved system stability
- Improved system reliability and service uptime
- Fast response to queries
- Improved performance of synchronous queries
- Licensing should separate out product and support.
- Early versions were hard to integrate.
- Improvements to maintenance functions to minimize downtime
A good tool for the right problem
- As a sharded key/value store for json documents, its both performant and scalable.
- The N1QL engine performs poorly compared to SQL engines due to the number of interactions needed, so if your use case involves the need for a lot of SQL-like query activity as opposed to the direct fetch of data in the form of a key/value map you may want to consider a RDBMS that has support for json data types so that you can more easily mix the use of relational and non-relational approaches to data access.
- You have to be careful when using multiple capabilities (e.g. transactions with Sync Gateway) as you will typically run into problems where one technology may not operate correctly in combination with another.
- There are quality problems with some newly released features, so be careful with being an early adopter unless you really need the capability. We somewhat desperately adopted the use of transactions, but went through multiple bughunt cycles with Couchbase working the kinks out.
Fastest, flexible, scalable high performing noSql Database.
- Cross Data-centre replication (XDCR).
- Improved performance.
- Scalable.
- Redundancy.
- High availability.
- Not many code examples given with SDK documentation, they seem beginner level.
- Error logs are mostly not useful/straightforward, need to spend time and look around to understand the problem.
- Community base is limited, so help from the forums like stack overflow, etc. is not that great, at least for older versions I have seen it.
Great product, but there is still room for improvement
- Sync data between server and mobile devices
- Scaling based on performance requests
- Query data with power of relational database
- Query functionalities on Couchbase Mobile
- More intuitive index creation on Couchbase Mobile
- Couchbase Cloud functionalities
- Easy to store unstructured data and has great performance
- Managing security is super easy which can be managed across different levels
- UI is pretty simple to use and manage the cluster
- Backup of the data is very easy and the restoration/recovery is fairly easy as well with the in-built tools.
- Easy integration with Elasticsearch for replication
- It is fairly easy to scale up or scale down the cluster
- Resource utilization can be improved. Sometimes we have noticed that Couchbase acts like a resource monster and draining the resources.
- If a node has to join back to the cluster sometimes database cluster with moderate size takes a longer time for a delta recovery
The fastest versatile Cloud NoSQL Database
- NoSQL DB response time in a millisecond
- High security under the cloud platform
- Super easy integration
- High read and write performance
- Backup and restore can have better performance and speed
- Working with it requires technical IT knowledge
- Migrate and move from other databases little complicated